Junior Business Analyst

Ultra Tendency

Ultra Tendency is a global data and AI consultancy with teams across Europe, Asia, and the Americas. As we continue expanding our presence in Japan, we are looking for a Senior Data Engineer – Databricks to join our growing Tokyo team and contribute to the development of scalable data platforms for international clients.    n this role, you will work closely with data engineers, data scientists, and architects to design and implement robust data solutions using modern cloud and data technologies.  Competitive compensation will be provided in line with the Japanese technology market, based on experience and qualifications.     YOUR RESPONSIBILITIES  * Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake.  * Develop and optimize batch and streaming data workflows supporting analytics, machine learning, and business intelligence applications.  * Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready data solutions.  * Improve performance and cost efficiency of data processing workloads within the Databricks environment.  * Support the implementation of best practices for data quality, governance, and security.  * Contribute to knowledge sharing within the team and support the development of junior engineers.     YOUR EXPERIENCE  * Strong experience with Databricks and Apache Spark (PySpark, SQL or Scala).  * Experience building data platforms on major cloud providers (AWS, Azure, or GCP).  * Solid understanding of distributed data processing, data modeling, and performance optimization.  * Experience with CI/CD pipelines and version control tools such as Git.  * Familiarity with orchestration frameworks such as Airflow or Databricks Workflows.  * Strong communication skills in English and Japanese for collaboration in an international environment.  * A collaborative mindset and interest in building reliable, scalable data systems.     WHAT WE OFFER  * Competitive salary aligned with Japanese market standards.  * Hybrid work options, combining office and remote work (candidates must be based in Japan).  * The opportunity to collaborate with experienced colleagues in an international engineering environment.  * Exposure to large-scale data and AI projects for global organizations.  * Professional development opportunities, including certifications and continuous learning resources such as Udemy Business.  * Regular feedback cycles and structured performance reviews to support your career development.  * A collaborative culture that values knowledge sharing and long-term professional growth.  * Team events and opportunities to connect with colleagues globally.     Interested?  We would be happy to hear from you. Please apply or reach out if you would like to learn more about the role and our team in Japan.  ABOUT US Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations—including the European Central Bank, Deutsche Telekom, and Europe’s largest automotive manufacturer—build and operate large-scale, data-driven platforms. With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner. At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support. We evaluate candidates based on skills, experience, and business fit, and welcome applicants from all backgrounds. Data privacy statement: Data Protection for Applicants – Ultra Tendency

Databricks

P-1502   At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Sr. Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open-source projects and advance AIOps capabilities in the industry. THE IMPACT YOU'LL HAVE: * Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents * Design and implement platform integrations with various frameworks in the AI/ML ecosystem * Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps. * Ensure the latest AI/ML tooling advancements are available to Databricks’ customers, thereby enabling organizations around the world to get more value from their data. * Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review. WHAT WE LOOK FOR: * BS (or higher) in Computer Science, or a related field * 5+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java. * Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment. * Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring. * [Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects. * [Preferred] Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

P-1502   At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Software Engineer on the AI OSS Ecosystem Team, you will play a key role in building and maintaining our open-source AI/ML platforms to enable users to train, deploy and monitor models and GenAI agents at scale. Additionally, you will collaborate with the larger AI/ML community to contribute to open-source projects and advance AIOps capabilities in the industry. THE IMPACT YOU'LL HAVE: * Design and implement platform capabilities to support the AI/ML development and productionization lifecycle including training, evaluation, deployment, monitoring, and management of models and agents * Design and implement platform integrations with various frameworks in the AI/ML ecosystem * Collaborate with the AI/ML community across the world to advance the state-of-the-art in AIOps. * Ensure the latest AI/ML tooling advancements are available to Databricks’ customers, thereby enabling organizations around the world to get more value from their data. * Mentor and guide junior engineers on the team by helping with project planning, technical decisions, and code and document review. WHAT WE LOOK FOR: * BS (or higher) in Computer Science, or a related field * 3+ years of hands-on experience in building production systems using at least one of the following programming languages: Python (Preferred), Scala and Java. * Experience building and maintaining software tools and frameworks for AI/ML, ideally in an open-source environment. * Familiarity with AI/ML and AIOps concepts and technologies, such as model training, deployment, and monitoring. * [Preferred] Deep understanding and experience in working with agent frameworks such as LangChain, LlamaIndex, DSPy, or other similar projects. * [Preferred] Significant contributions to open-source projects in the AI/ML domain, such as SparkML, TensorFlow, PyTorch, MLflow, or other similar projects. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.